Why this role stands out
Accelerate your career at the forefront of AI innovation by building high-performance distributed cloud services at Tensordyne, where you will enjoy competitive compensation and the flexibility of a hybrid work environment. This role is perfect for a skilled engineer who thrives in a collaborative, fast-paced atmosphere and is eager to shape the future of generative AI. Join this world-class team today and make a lasting impact on cutting-edge technology.
Quick overview
Job description
About Tensordyne
AI is transforming our world. It can perform cognitive functions that previously only humans could do, such as perceiving interactions across different modalities and environments - with the ability to quickly learn and then solve complex problems. Tensordyne is an AI system solution company that builds very high-performance, low-power generative AI inference systems. Our mission, through the creation of custom silicon, hardware and software, is to enable multimodal Generative AI inference acceleration at scale, with safe, sustainable, high-performance systems for our hyperscaler and neocloud data center customers. We are at the leading edge of advancing the latest research and product improvements for generative Al inference solutions that will make Al even more advantageous for compelling new generative AI applications.Tensordyne is a well funded, fast-paced startup company with headquarters in both Sunnyvale, CA, and Munich, Germany. We also have many talented team members working remotely across North America and Europe. We take care of our people and their families with comprehensive benefits, competitive compensation, flexible spending options, and recognition programs, because building category-defining technology starts with a healthy, supported team. Come join us as we shape the future of multimodal generative artificial intelligence!
About the role
Tensordyne builds high-performance, power-efficient inference hardware, backed by our novel AI math approach.
You will work within a team working on the inference backend software. Your focus will be on a part of a software stack of a future Tensordyne product.
In this role, you will
- Design and develop distributed cloud services in Rust
- Maintain Rust software developed in-house, as well as work with external frameworks
- Build APIs for generative AI
- Collaborate across different teams to derive design specifications and decisions
- Orchestrate agent teams to implement features
Preferred qualifications
- Experience with modern Rust
- Experience with agentic tools and workflows
- Knowledge of common Rust design patterns, including patterns for asynchronous code
- General awareness of network technologies and high-level protocols like HTTP
- General awareness of Kubernetes and other related technologies is a plus
Tensordyne's culture was built on the following values
- Put people first. We only succeed when our people succeed.
- Ethics and integrity always; Being open, honest, and respectful of everyone.
- Think Big. Be ambitious and have audacious goals of global scale.
- Aim for excellence. Quality and excellence count in everything we do.
- Own it and get it done. Results matter!
- Make each person better together, than they would be as an individual.
- Embrace each others’ differences, and embrace that there will be differences.
Tensordyne is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
A note to Recruitment Agencies: Please don’t reach out to Tensordyne employees or leaders about our roles -- we’ve got it covered. We don’t accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you for your understanding.
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